Data Scientist | Tableau, Databricks | Neuroscience Researcher Turned AI Developer

Data Scientist with 5+ years experience and certifications in Tableau and Databricks. My work spans neuroscience and assistive tech, with a focus on robust, interpretable ML. I help organizations understand their data and automate the hard stuff. I am seeking a role involving analytics and pipeline development.

Open Source Developer

Independent

Toronto, ON

Present - Jan 2024

• Developed a software package [] simplifying data model design and ETL workflows (Python, Pandas)
• Built a data management package [] automating job application workflows (R, Excel)
• Implemented a data app [] displaying geospatial KPIs in space and time (Streamlit, Plotly)

Data Scientist

VocaLinks Inc.

Toronto, ON

Oct 2023 - Jun 2023

• Created and communicated market breakdowns and technical tutorials (R Markdown, Python) on 4 AI-assisted assistive technology products, facilitating data-driven discussions among industry leaders
• Distilled key statistical insights in hearing research into visually compelling reports (ggplot (R), Seaborn), driving a 100% increase in sales of an assistive listening product
• Designed the data layer of an Azure speech recognition data center, enabling rapid delivery of meaningful analytics to 200+ customers via the cloud

Research Analyst

University of Western Ontario

London, ON

Aug 2022 - Sep 2021

• Designed scalable online experiments (AWS, Amazon MTurk, JavaScript) to expedite data collection for 3 auditory neuroscience projects, yielding 2 publications and a robust cloud infrastructure
• Provided multivariate statistical modeling support for research on neural signatures of epilepsy, laying the groundwork for automated labeling of 10+ hours of multimedia stimuli (Python, GCP)

Computational Cognitive Neuroscientist

University of Western Ontario

London, ON

Aug 2021 - Jul 2018

• Designed and deployed 11 experiments assessing neural speech processing in 300+ research subjects
• Developed a time series analysis toolbox (R, MATLAB) to measure hearing impairment through brain imaging, enhancing diagnostic sensitivity by a factor of 2

Graduate Teaching Assistant

University of Western Ontario

London, ON

Apr 2021 - Sep 2018

• Directed 4 weekly research methods and statistics labs for 100+ undergraduate neuroscience students, leading to a nomination recognizing excellence in teaching and mentorship

Head of Finance

Lorne Park Landscaping

Mississauga, ON

Apr 2018 - Apr 2015

• Cofounded and managed payroll, client invoicing, and government remittances for a successful partnership specializing in property maintenance, servicing 80+ clients and leading a team of 5 employees

BSc (Honours), Mathematics and Statistics

McMaster University

Hamilton, ON

Dec 2023 - Sep 2021

MSc, Neuroscience [Thesis]

University of Western Ontario

London, ON

Aug 2020 - Sep 2018

BSc (Honours), Neuroscience

McMaster University

Hamilton, ON

Apr 2018 - Sep 2014

Databricks Certified Data Engineer Associate [Certificate]

Databricks

N/A

Mar 2027 - Mar 2025

Tableau Certified Data Analyst [Certificate]

Tableau

N/A

Feb 2027 - Feb 2025

Professional Machine Learning Engineer

Google Cloud Platform (GCP)

N/A

Expected May 2025

Machine Learning Specialization [Certificate]

Stanford University

N/A

Expected May 2025

SQL Basics for Data Science Specialization

UC Davis

N/A

Expected May 2025

datopy (Data Management Python Package) [Documentation]

N/A

N/A

Present - Jan 2024

• Implemented and maintain a package for handling unstructured data, providing a simple interface for data modeling, extraction, validation, and building ETL pipelines (Pandas, PyTest, Pydantic, GitHub Actions)

mlvizz (Machine Learning Data Visualization Package)

N/A

N/A

Present - Apr 2024

• Build Python interfaces for efficient, intuitive model selection, tuning, inspection, and ML pipelines through modular, object-oriented designs with built-in data validation (Scikit-learn, TensorFlow, ArviZ, PyMC, SciPy)

statvizz (Statistical Data Visualization Package)

N/A

N/A

Present - Apr 2024

• Build Python extensions unifying Pandas data summarization with Seaborn statistical plotting functionality for a unified, intuitive, fully transparent statistical plotting interface (Pandas, Seaborn, SciPy, Matplotlib)

mathvizz (Mathematical Visualization Package)

N/A

N/A

Present - Jul 2024

• Build Python interfaces for exploring the geometry of machine learning math, including linear maps, derivatives, statistical distributions, and series approximations (SymPy, SciPy, Seaborn, Matplotlib)

One-stop Superstore Dashboard [Tableau]

N/A

N/A

Feb 2025 - Feb 2025

• Designed an interactive dashboard displaying sales in a convenient, unified view, with key KPIs and sales logs visualized in both space and time (SQL, Excel)

Zip Explorer (Geospatial Data Analysis Streamlit App) [Web App]

N/A

N/A

Dec 2024 - Nov 2024

• Implemented a data application with interactive visualizations of geospatial data in space and time, across various KPIs and at state and county levels (Streamlit, Pandas, Plotly, Altair, GeoPandas)

Nurse Staffing Analysis and Recommendations [Website]

N/A

N/A

Aug 2024 - Jul 2024

• Analyzed nursing data using Bayesian models and ARIMA forecasting, revealing regional asymmetries and 90% predictive accuracy up to one month in the future. (statsmodels, Pandas, Scikit-learn)

autocv (Automated CV-generation R Package) [Documentation]

N/A

N/A

Jul 2024 - May 2024

• Built a data management package automating job application workflows using validated data stores and macro-integrated spreadsheets, resulting in an efficient, extensible workflow (dplyr (R), pkgdown, Excel)